The Center for Diagnostics and Telemedicine Centre of the Moscow City Health Department has announced the creation of the first publicly available dataset of brain CT scans, marking a significant advancement in the use of artificial intelligence (AI) for the detection of brain diseases.
This dataset is designed to enhance the capabilities of AI developers in identifying intracranial hemorrhages, thereby advancing medical diagnostic technologies. Moscow’s commitment to integrating AI into healthcare has established a new market for AI applications within the sector, accelerating the development of cutting-edge IT solutions for medical use.
The comprehensive dataset includes complete CT scan results and crucial clinical information to improve the effectiveness of pathology detection. Available on the mosmed.ai platform, it enables the testing and refinement of neural networks for detecting various pathologies, not limited to brain conditions but extending to thoracic organs and other anatomical areas. Since its begging in 2022, the digital library has been progressively enriched with datasets across major diagnostic modalities.
Intracranial hemorrhages pose a significant threat to patients, necessitating timely and accurate detection to facilitate appropriate treatment and minimize brain damage. This, in turn, enhances the patient’s prospects for recovery. Artificial intelligence algorithms prove beneficial in this context, as the course of therapy largely dep
